基于可见光影像的夏季玉米植被覆盖度提取方法研究

Study on extraction method of vegetation coverage of summer maize based on visible image

为了对夏季玉米四叶期、拔节期、抽穗期和花粒期的植被覆盖信息进行快速、精确提取,提出基于可见光植被指数阈值法与直方图相结合的提取植被覆盖度新方法。对试验田中玉米的上述4阶段进行图像提取,选择了VDVI、EXG和NGBDI等3个指数对植被覆盖度进行描述,并对其精度结果进行验证。结果显示:基于无人机可见光影像的植被阈值法能够准确提取夏季玉米4个阶段生长期的植被覆盖度信息,并且采用EXG指数描述植被覆盖度效果最好。

In order to extract vegetation coverage information quickly and accurately at four-leaf stage,jointing stage,heading stage and flowering and grain stage of summer maize,a new method of extracting vegetation coverage based on visible vegetation index threshold method and histogram is proposed.The above four stages of maize image extraction are carried out in the experimental field.VDVI,EXG and NGBDI are selected to describe the vegetation coverage,and their accuracy is verified.The results show that the vegetation threshold method based on UAV visible image can accurately extract the vegetation coverage information during the four growing stages of summer maize,and the EXG index is the best one to describe the vegetation coverage.